Senior Data Scientist - SPORTS

SENIOR DATA SCIENTIST - SPORTS PERFORMANCE ANALYTICS

Up to £90,000 + Bonus

LONDON

Ready to elevate your career to new heights? Join our team of experienced Data Scientists and Data Engineers to create impactful models and work with cutting-edge technologies. We aim to become the world's leading provider of performance analytics software in the sports industry, leveraging Machine Learning to optimize athlete performance and team strategies.

The Role:

Your day-to-day responsibilities will include:

• Deploying Data Science projects that directly impact sports performance and team success.
• Building Machine Learning algorithms and models using Python to develop innovative performance analytics tools for athletes and coaches.
• Coding and testing new algorithms for prototype and production applications using Python libraries like TensorFlow and Keras, with a focus on sports-related data.
• Translating complex sports data into meaningful insights using Python, helping teams make data-driven decisions.
• Taking the lead in interacting with sports professionals, coaches, and stakeholders to showcase the project.

Your Skills and Experience:

• MSc or PhD level education in STEM subjects, with a strong focus on sports analytics or a related field.
• Proven expertise in implementing Machine Learning and clustering techniques specifically tailored to sports performance.
• Strong commercial experience with Python and data visualization, along with proficient knowledge of Python, R, and Scala, with an emphasis on sports data.
• Previous commercial exposure to tools such as Keras, TensorFlow, Python, specifically in the context of sports performance analytics.
• Excellent communication skills and ability to engage with teams, coaches, and sports professionals.

Benefits:

• Competitive salary range of £80,000 - £90,000.
• Outstanding career progression opportunities.
• Flexible working arrangements.

How to Apply:

Register your interest by sending your CV to Luc Simpson-Kent, via the link.